Welcome to R-Ladies St. Louis

Introduction to data.table

1/16/24

Materials for tonight

  • Have R and RStudio installed on your computer

  • Install data.table, tidyverse, tictoc, and utils

  • Download the dataset here

What is R-Ladies?

  • R-Ladies is a world-wide organization with the mission of promoting gender diversity in the R community

  • Started in San Francisco in 2012 and now has 206 chapters and more than 93,000 members globally (check out rladies.org for a Shiny dashboard)

R-Ladies St. Louis

Started in September 2017 by Jenine Harris and Chelsea West

Co-organizers for 2023-24 include:

  • Jenine Harris (Washington University)
  • Mary Painter (University of Colorado, Boulder)
  • Shelly Cooper (Washington University)
  • Crystal Lewis (Freelance Data Management Consultant)
  • Laura Rose (Hinge Health)

2024 Spring Schedule

  • Today: Introduction to data.table with Susanna Supalla
  • TBD: Quarto presentation with Jadey Ryan

Announcements

  • We will be recording this talk

    • Feel free to turn off your cameras if you do not want to be recorded
  • Use the chat to ask questions (to everyone or directly to the host)


Code of Conduct
https://rladies.org/coc/

Want to learn more or get involved?

Visit rladies.org to learn about the mission and global work of R-Ladies

About tonight’s speaker

Susanna Supalla, PhD, first learned R and started loving data.table as a graduate student in Political Science at the University of Rochester. Since then she has gained over a decade of experience working as a data scientist in political and health tech. Over her career she has built and operationalized dozens of machine learning models predicting individual-level voting and healthcare utilization behavior, designed and analyzed large-scale field experiments testing novel outreach methods, supported development of data visualization and analysis products, and built R packages and data pipelines.

About tonight’s speaker, cont.

Today Susanna is a Staff Data Scientist at Hinge Health, a digital clinic for joint and muscle care, where she builds predictive models and designs experiments to better reach people most in need of physical therapy. Susanna also authored a chapter in the newly released book, Non-Academic Careers for Quantitative Social Scientists.